Institut für Neurowissenschaften und Medizin
Strukturelle und funktionelle Organisation des Gehirns (INM-1)
Scientist
Academic degree: M.Sc. Technomathematik
Research group Big Data Analytics
Applying Deep Learning for identifying corresponding microstructures in high-resolution images
The goal of this project is to automatically detect and match cells between consecutive histological images that have been bisected during the cutting of the brain. In particular, siamese networks are being utilized and examined for the purpose of solving this task. The challenge however stems from the fact that only a small fraction of cells actually does appear within two neighboring sections while the sections themselves contain non-linear deformations. Based on the extracted information, it‘s subsequently possible to reconstruct the images in a precise manner which results in a digital, high-resolution 3D-model of the brain.
Figure: Zoomed-In visualization of a cell that appears in 2 neighboring histological images and therefore is bisected.
